Other blog categories: News | Product | Technology | Thought Leadership | Trends and Advice
The word “open” when talking about restaurant tech means something different depending on who's saying it. Some mean an API exists. Some mean a handful of pre-built integrations. Some mean data can be exported once a quarter, in a format that takes another system to...
Every restaurant brand evaluating AI right now asks the same question: what can it do? Almost none of them ask: what is it going to be fed? That's backwards. A model doesn't fix bad data. It amplifies it, faster, and with more confidence than the mess ever had on its...
Most restaurant technology gets evaluated the same way: feature list against feature list, price against price. That's the wrong unit of measurement. The right question isn't what the software does. It's what happens to the person using it, every shift, every day,...
Building AI fast used to be the hard part. That part is getting solved. Now the harder problem is showing up: teams can ship changes faster than the people running restaurants can absorb them. The Real Problem Development speed has changed the shape of the risk. A...
A store manager wants to know yesterday's labor cost at Store 12. That's not a question for a model. That's a lookup. It already has an answer, sitting in a report, waiting to be opened. The Real Problem The industry has spent too much time talking about AI in...
Most restaurant brands treat AI selection like a technology purchase. Compare specs, check the price, sign the contract. That's the wrong category. An AI tool that touches labor, sales, and guest decisions isn't a purchase. It's more like a hire; one that never calls...
A year ago, the question was simple. What can this thing do? Now operators ask something harder. What does it actually save? That shift is the whole story. The Real Problem For a while, novelty was enough. A tool that could write a guest response or summarize a shift...
Restaurant brands spend months evaluating AI vendors. Comparing features. Debating integrations. Building slide decks to justify the decision before anyone has made one. Most of them never get past the debate. The tool they eventually pick matters far less than they...
Last week at HITEC, Harikrishna Patel said something that needed to be said out loud. The term “AI Agent” is everywhere right now. And the industry hasn't agreed on what it means yet. That ambiguity has real consequences. Not because vendors are acting in bad faith...
Learn how Axial helps access service-focused data to help you win every shift without wasting time in the back office.
See how we help you drive the bottomline with frontline accountability using transparent data on role-based dashboards.
Explore the opportunity of using your data to create consistency across all units – on autopilot.
